Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
In most existing systems, the authorization check for system resource access is based on the user ID of the running processes. Such systems are vulnerable to password stealing/cra...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
—Automated regression test suites are an essential software engineering practice: they provide developers with rapid feedback on the impact of changes to a system’s source code...
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...